Quanta Services (PWR) Cash & Equivalents (2009 - 2026)
Quanta Services (PWR) posted Cash & Equivalents of $2.32 billion for Q3 2026, up 279.3% from $610.39 million a year earlier and up 357.2% from the prior quarter.
Quanta Services (PWR) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Quanta Services' Cash & Equivalents came in at $439.51 million, down 40.8% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- In prior years, Quanta Services' Cash & Equivalents was $741.96 million in FY2024 (-42.5%), $1.29 billion in FY2023 (+201.1%), $428.51 million in FY2022 (+87.0%) and $229.1 million in FY2021 (+24.1%).
- The Q3 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q1 2009.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with growth averaging 17.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2026, with growth of 279.3%; the weakest was Q3 2022, with a decline of 87.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $506.43 million (Q2 2026), $364.76 million (Q1 2026) and $439.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 2.32 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | 5.02 Bn |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 774.75 Mn |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 1.17 Bn |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 481.82 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 1.01 Bn |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | 216.94 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | 315.76 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 77.28 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 340.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.32 Bn |
| Jun 30, 2026 | 506.43 Mn |
| Mar 31, 2026 | 364.76 Mn |
| Dec 31, 2025 | 439.51 Mn |
| Sep 30, 2025 | 610.39 Mn |
| Jun 30, 2025 | 509.46 Mn |
| Mar 31, 2025 | 520.56 Mn |
| Dec 31, 2024 | 741.96 Mn |
| Sep 30, 2024 | 764.07 Mn |
| Jun 30, 2024 | 518.14 Mn |
| Mar 31, 2024 | 531.06 Mn |
| Dec 31, 2023 | 1.29 Bn |
| Sep 30, 2023 | 305.36 Mn |
| Jun 30, 2023 | 361.97 Mn |
| Mar 31, 2023 | 217.12 Mn |
| Dec 31, 2022 | 428.51 Mn |
| Sep 30, 2022 | 215.40 Mn |
| Jun 30, 2022 | 150.65 Mn |
| Mar 31, 2022 | 238.26 Mn |
| Dec 31, 2021 | 229.10 Mn |
Quanta Services Cash & Equivalents API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=PWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "PWR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();